Early postnatal striatal gene expression networks in rat: relevance to schizophrenia
Bibliographic record
Abstract
Abnormal striatal development is thought to play an important role in a number of diseases, including schizophrenia. In humans, stress during the second trimester of pregnancy leads to increased risk for schizoaffective disorders in the offspring. This is period of active development of the striatum and corresponds to the second postnatal week of striatal development in rat. We show that during the first two postnatal weeks in rat an entire gene expression network becomes down‐regulated and replaced by a mature gene expression network. Using subtractive hybridization, we identified 31 additional genes involved in this process, including 12 novel transcripts with strict developmental expression. We show that in an established schizophrenia model in rat, this developmental process is altered and results in overexpression of the dopamine 2 receptor (D2R) during the second postnatal week, with no change in expression of D1R or other genes. This may play an important role in the development of a schizophrenia‐like phenotype, as striatal D2R upregulation has been shown to cause dysregulation of the prefrontal cortex.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".